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- Tasks: Design and optimise high-performance data platforms for real-time streaming applications.
- Company: Join Chainalysis, a leader in blockchain technology and innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Why this job: Be part of a team that shapes the future of cryptocurrency and data solutions.
- Qualifications: 3+ years in data or software engineering with cloud expertise.
- Other info: Dynamic work environment with a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in the UK, Denmark, Canada, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to build a flexible platform that will allow us to adapt to those rapid changes.
We’re looking for Software Engineers to join our Data Cloud team. This group accelerates innovation & helps unlock new business lines, by empowering anyone at Chainalysis to quickly and reliably discover, access, analyze, and build on top of any and all data. You’ll be a key player in creating and optimizing our data platform and data processing systems. If you’re passionate about infrastructure automation, cloud services, and building scalable platforms to enable next‑gen real‑time streaming data applications, we want you to join our talented and growing team!
In this role, you’ll:
- Design, develop, and optimize high‑performance, scalable data platforms, with a strong focus on streaming data processing, large data volumes, and cloud infrastructure
- Implement and maintain infrastructure automation and self‑service using Terraform, ensuring reliable and repeatable environments for both development and production, and creating robust CI/CD pipelines
- Build seamless integrations between Data Cloud and various relational and noSQL OLTP databases
- Design and build frameworks and abstractions to accelerate the development of data pipelines while embedding data engineering best practices
- Establish and maintain observability, security, and data governance solutions to ensure high quality and reliability of data pipelines
We’re looking for candidates who have:
- 3+ years of experience as a Data Platform Engineer or Software Engineer or Infrastructure Engineer, with hands‑on expertise in building and maintaining cloud‑based data platforms
- Solid experience with AWS services, a good understanding of cloud architecture, and proficiency with Terraform for provisioning and managing cloud infrastructure
- Experience building streaming data pipelines using Apache Flink, Apache Kafka, Spark Structured Streaming, or similar technologies
- Knowledge of modern data lakehouse architectures and ecosystem such as Kafka, Flink, Spark, Databricks, Snowflake, DBT, Airflow, Debezium, Delta/Iceberg, and comfort with Python/Java and SQL
- Experience with networking and security concepts within AWS, including VPCs, subnets, routing, security groups, IAM, etc.
Nice to have Experience:
- Exposure to or interest in the cryptocurrency technology ecosystem
- Experience working with different blockchain technologies is a plus
- Experience with a SaaS or FinTech company
Technologies we use:
- AWS Services: MSK, EC2, VPC, IAM, S3, SQS, Managed Flink, EKS
- Data Lakehouse: Kafka, Flink, Spark, Databricks, DBT, Debezium
About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.
You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.
Software Engineer, Data Cloud in London employer: Chainalysis Inc.
Contact Detail:
Chainalysis Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Data Cloud in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Chainalysis on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s a great way to get insider info and show your genuine interest in the company.
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills and understanding of cloud infrastructure. Practice common data platform scenarios and be ready to discuss your past projects. We want to see how you tackle challenges, so think through your problem-solving approach!
✨Tip Number 3
Showcase your passion for blockchain and cryptocurrency! Research recent trends and developments in the industry, and be prepared to discuss how they relate to the role. This will demonstrate your enthusiasm and commitment to being part of the Chainalysis team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows that you’re proactive and serious about joining our talented Data Cloud team.
We think you need these skills to ace Software Engineer, Data Cloud in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Software Engineer role in Data Cloud. Highlight your experience with cloud services, data platforms, and any relevant technologies like AWS, Terraform, and streaming data tools. We want to see how your skills align with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for building scalable platforms and how you’ve tackled technical challenges in the past. Let us know why you’re excited about joining Chainalysis and how you can contribute to our mission.
Showcase Your Projects: If you've worked on any projects related to data processing or cloud infrastructure, make sure to mention them! We love seeing real examples of your work, especially if they involve technologies like Apache Kafka or Flink. It gives us a glimpse into your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you’re serious about joining our talented team at Chainalysis!
How to prepare for a job interview at Chainalysis Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, Terraform, and streaming data tools. Brush up on your knowledge of Apache Flink, Kafka, and Spark, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially those related to building scalable data platforms. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions.
✨Understand the Company’s Mission
Familiarise yourself with Chainalysis and its role in the cryptocurrency ecosystem. Be ready to discuss how your skills can contribute to their mission of building trust in cryptocurrencies and how you can help them adapt to industry changes.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, team dynamics, or how they approach innovation in their data cloud solutions. This not only demonstrates your enthusiasm but also helps you gauge if it’s the right fit for you.